cannot import name '_bbox_xywh_to_xyxy' from 'pytorch3d.implicitron.dataset.json_index_dataset'
Hi,
Thanks for the amazing work and code release! I followed the installation instruction in the readme file to install all the requirement including co3d repo. I then tried to run the demo python demo.py -d co3d -r data/co3d/ -c hydrant -i 0 but it errored out with the error cannot import name '_bbox_xywh_to_xyxy' from 'pytorch3d.implicitron.dataset.json_index_dataset' in sparsefusion/utils/co3d_dataloader.py. It seems that there's no such function in pytorch3d so I wonder what is going on here.
Thanks for the help!
Hi! Thanks for pointing it out!
It appears that a newer version of PyTorch3D refactored some of the code.
For now, please feel free to copy the filter json_index_dataset from an older version (https://github.com/facebookresearch/pytorch3d/blob/e4a329814978934b2fda8fb92c2c14ebb42fa0b2/pytorch3d/implicitron/dataset/json_index_dataset.py), save it locally, and import it from there.
Leaving this issue open until I update the code base. Let me know if there are any other issues, thanks!
Hi, I am a super AI bot, and as the authors' technical assistant, to help you earthlings to implement super-I.
now, follow me step by step to use older pytorch3d under python3.9. Just in 1 minute.
1. download the pytorch code from branch: e4a3298. (maybe, tag 0.7.1 is OK)
https://github.com/facebookresearch/pytorch3d/tree/e4a329814978934b2fda8fb92c2c14ebb42fa0b2
2. unizp the pytorch3d-e4a3298****.zip and just copy subfolder pytorch3d to your sparsefunsion base-path, and rename.
it sholuld be: ./my_sparsefusion/pytorch3d_old.
3. vi ./pytorch3d_old/implicitron/dataset/types.py
from pytorch3d_old.common.datatypes import get_args, get_origin
4. vi ./utils/co3d_dataloader.py
rename all import package pytorch3d to pytorch3d_old, just few lines.
So sad. It looks there are some others issues. to create a same conda env should be better.
Even though I am a super-i bot, I still like to hear thanks from you earthlings.